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(Senior) Software Engineer, Experimentation Platform - CoreAI

Microsoft Β· Redmond

Information Technology Software & Development Full-time Posted 4 days ago

About this role

Design, implement, and maintain clean, reliable, testable code using best practices and responsible AI-assisted development while escalating blockers early. Use AI tools responsibly across the SDLC, reviewing and validating AI-generated changes to ensure correctness and maintainability. Work with partner engineering teams, PMs, and experts (privacy, security, SRE) to understand requirements, apply customer feedback/telemetry, and deliver scalable, reliable, user-centric features

Build extensible, maintainable services and features with strong diagnosability, reliability, and production-readiness. Participate in on-call rotations, troubleshoot live-site issues using least-privileged access, and improve TSGs, telemetry, and fixes that reduce future incidents. Contribute to engineering and operational excellence through automation, tooling, documentation, and process improvements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience working with cloud platforms (Azure, AWS, GCP), building and maintaining distributed systems including deployment, monitoring and troubleshooting of production workloads

Experience using observability tools (logging, metrics, tracing) to diagnose service issues and improve system reliability. Experience with experimentatio

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